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Reveal Categories Found in Data

Intermediate
Updated 07/2024
Apply clustering and NLP techniques to sort text data from negative reviews in the Google Play Store into categories.
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Project Description

App publishers want to know what users think and feel about their apps. While we can't read their minds, you can data-mine the reviews they leave to uncover the main topics!

In this project, you will use clustering and NLP techniques to sort text data from negative reviews in the Google Play Store into categories.

Project Tasks

  1. 1
    Apply K-means clustering to group the reviews into categories.

Technologies

Python Python

Topics

Machine Learning

Prerequisites

Unsupervised Learning in PythonIntroduction to Natural Language Processing in Python
Román de las Heras HeadshotRomán de las Heras

Data Scientist at Appodeal

Román de las Heras is a seasoned Data Scientist, currently working at Appodeal. He studied Systems Engineering and took a simultaneous Math degree with Computer Science at the National Autonomous University of Honduras (UNAH). The ensemble of these two careers drove him into data science. His daily work includes developing ML models, building recommendation engines and ranking systems, training junior team members on the field, and doing ad-hoc data analyses to present results and insights. He is also a passionate and experienced educator, as well as a strong believer in "learning by doing".
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